Acoustic Signal Classiﬁcation of Breathing Movements to Virtually Aid Breath Regulation

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Acoustic Signal Classiﬁcation of Breathing Movements to Virtually Aid Breath Regulation

Abushakra, Ahmad - Nama Orang; Faezipour, Miad - Nama Orang;

Abstract—Monitoring breath and identifying breathing movementshavesettledimportanceinmanybiomedicalresearchareas, especially in the treatment of those with breathing disorders, e.g., lungcancerpatients.Moreover,virtualreality(VR)revolutionand their implementations on ubiquitous hand-held devices have a lot ofimplications,whichcouldbeusedasasimulationtechnologyfor healing purposes. In this paper, a novel method is proposed to detectandclassifybreathingmovements.TheoverallVRframework isintendedtoencouragethesubjectsregulatetheirbreathbyclassifying the breathing movements in real time. This paper focuses on a portion of the overall VR framework that deals with classifying the acoustic signal of respiration movements. We employ Mel-frequency cepstral coefﬁcients (MFCCs) along with speech segmentation techniques using voice activity detection and linear thresholding to the acoustic signal of breath captured using a microphone to depict the differences between inhale and exhale in frequency domain. For every subject, 13 MFCCs of all voiced segmentsarecomputedandplotted.Theinhaleandexhalephasesare differentiated using the sixth MFCC order, which carries important classiﬁcation information. Experimental results on a number of individuals verify our proposed classiﬁcation methodology.

Index Terms—Acoustic signal of breath, exhale, inhale, Melfrequency cepstral coefﬁcient (MFCC), segmentation, threshold, voice activity detection (VAD).

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Penerbit: : IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS., 2013
Deskripsi Fisik: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 2, MARCH 2013 p. 493-500
Bahasa: English
ISBN/ISSN: 2168-2194
Klasifikasi: NONE
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Subjek: KEDOKTERAN-ALAT DAN PERLENGKAPAN
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Pernyataan Tanggungjawab: Ahmad Abushakra, and Miad Faezipour

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Acoustic Signal Classiﬁcation of Breathing Movements to Virtually Aid Breath Regulation

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